Diego Calderon
Impact in
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- Single-cell and spatial transcriptomics
- Genomics and Chromatin Dynamics
- CRISPR and Genetic Engineering
- RNA Research and Splicing
- Epigenetics and DNA Methylation
- Pluripotent Stem Cells Research
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- T-cell and B-cell Immunology
Papers in
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- Single-cell and spatial transcriptomics 4
- RNA and protein synthesis mechanisms 4
- Genomics and Chromatin Dynamics 3
- CRISPR and Genetic Engineering 3
- RNA Research and Splicing 3
- Epigenetics and DNA Methylation 2
- Ubiquitin and proteasome pathways 1
- Oncology 1
- Co-authors
- Jonathan K. Pritchard (3 shared papers)David A. Knowles (2 shared papers)Beth Martin (5 shared papers)Jay Shendure (6 shared papers)Cole Trapnell (4 shared papers)Towfique Raj (1 shared paper)David E. Golan (1 shared paper)Anand Bhaskar (1 shared paper)
- Journals
- Nature Genetics (2 papers)Nature Communications (1 paper)Genome Research (1 paper)Cell (1 paper)The American Journal of Human Genetics (1 paper)
- Partner nations
- United StatesGermanyIsrael
In The Last Decade
Diego Calderon
11 papers receiving 547 citations
Peers
Comparison fields: 5 of 61
- Molecular Biology 423
- Immunology 93
- Biophysics 27
- Cancer Research 52
- Genetics 103
Countries citing papers authored by Diego Calderon
This map shows the geographic impact of Diego Calderon's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Diego Calderon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Diego Calderon more than expected).
Fields of papers citing papers by Diego Calderon
This network shows the impact of papers produced by Diego Calderon. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Diego Calderon. The network helps show where Diego Calderon may publish in the future.
Co-authors
The 25 scholars most cited alongside Diego Calderon, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 158 | |
| 2 | 2022 | 101 | |
| 3 | 2017 | 80 | |
| 4 | 2017 | 78 | |
| 5 | 2022 | 49 | |
| 6 | 2024 | 38 | |
| 7 | 2024 | 20 | |
| 8 | 2024 | 16 | |
| 9 | 2025 | 6 | |
| 10 | 2011 | 1 | |
| 11 | Predicting Mitochondrial tRNA Modification | 2014 | 1 |
About Diego Calderon
Diego Calderon is a scholar working on Molecular Biology, Oncology, Genetics, Immunology and Plant Science, having authored 11 papers that have together received 548 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (4 papers), RNA and protein synthesis mechanisms (4 papers), Genomics and Chromatin Dynamics (3 papers), CRISPR and Genetic Engineering (3 papers), RNA Research and Splicing (3 papers), Epigenetics and DNA Methylation (2 papers), Ubiquitin and proteasome pathways (1 paper) and Immunotherapy and Immune Responses (1 paper). The work is most often cited by research in Molecular Biology (423 citations), Immunology (93 citations), Biophysics (27 citations), Cancer Research (52 citations) and Genetics (103 citations). Diego Calderon has collaborated with scholars based in United States, Germany and Israel. Frequent co-authors include Jonathan K. Pritchard, David A. Knowles, Beth Martin, Jay Shendure, Cole Trapnell, Towfique Raj, David E. Golan, Anand Bhaskar, Audrey Qiuyan Fu and Xingfan Huang. Their work appears in journals such as Nature Genetics, Nature Communications, Genome Research, Cell and The American Journal of Human Genetics.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.